---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-13-cfacdd671101> in <cell line: 47>()
45 image_data = next(iter(uploaded.values()))
46
---> 47 process_uploaded_image(image_data)
<ipython-input-13-cfacdd671101> in process_uploaded_image(image_data)
21 image = Image.open(BytesIO(image_data))
22 image_np = np.array(image) # Convert PIL Image to NumPy array
---> 23 detections = run_detector(detector, image_np) #Call the run_detector function
24 plot_detections_with_heatmap(image_np, detections, class_names) #Make sure plot_detections_with_heatmap is defined or imported
25
<ipython-input-13-cfacdd671101> in run_detector(detector, image_np)
9 input_tensor = tf.convert_to_tensor(image_np)
10 input_tensor = input_tensor[tf.newaxis, ...]
---> 11 detections = detector(input_tensor)
12 num_detections = int(detections.pop('num_detections'))
13 detections = {key: value[0, :num_detections].numpy()
/usr/local/lib/python3.10/dist-packages/tensorflow/python/saved_model/load.py in _call_attribute(instance, *args, **kwargs)
814
815 def _call_attribute(instance, *args, **kwargs):
--> 816 return instance.__call__(*args, **kwargs)
817
818
/usr/local/lib/python3.10/dist-packages/tensorflow/python/util/traceback_utils.py in error_handler(*args, **kwargs)
151 except Exception as e:
152 filtered_tb = _process_traceback_frames(e.__traceback__)
--> 153 raise e.with_traceback(filtered_tb) from None
154 finally:
155 del filtered_tb
/usr/local/lib/python3.10/dist-packages/tensorflow/python/eager/polymorphic_function/function_type_utils.py in bind_function_inputs(args, kwargs, function_type, default_values)
444 )
445 except Exception as e:
--> 446 raise TypeError(
447 f"Binding inputs to tf.function failed due to `{e}`. "
448 f"Received args: {args} and kwargs: {sanitized_kwargs} for signature:"
TypeError: Binding inputs to tf.function failed due to `Can not cast TensorSpec(shape=(1, 342, 762, 4), dtype=tf.uint8, name=None) to TensorSpec(shape=(1, None, None, 3), dtype=tf.uint8, name=None)`. Received args: (<tf.Tensor: shape=(1, 342, 762, 4), dtype=uint8, numpy=
array([[[[ 52, 68, 95, 255],
[ 51, 67, 93, 255],
[ 50, 66, 92, 255],
...,
[ 47, 72, 105, 255],
[ 48, 73, 106, 255],
[ 47, 72, 105, 255]],
[[ 51, 67, 94, 255],
[ 50, 66, 92, 255],
[ 49, 65, 91, 255],
...,
[ 48, 73, 105, 255],
[ 49, 74, 106, 255],
[ 48, 73, 105, 255]],
[[ 52, 68, 95, 255],
[ 50, 66, 92, 255],
[ 49, 65, 91, 255],
...,
[ 48, 74, 106, 255],
[ 49, 75, 106, 255],
[ 48, 74, 106, 255]],
...,
[[ 77, 73, 77, 255],
[ 75, 70, 74, 255],
[ 75, 71, 75, 255],
...,
[ 84, 82, 83, 255],
[ 75, 72, 73, 255],
[ 83, 80, 81, 255]],
[[ 73, 70, 73, 255],
[ 76, 72, 76, 255],
[ 72, 68, 71, 255],
...,
[ 91, 89, 89, 255],
[ 83, 81, 81, 255],
[ 83, 80, 80, 255]],
[[ 74, 72, 75, 255],
[ 80, 78, 81, 255],
[ 78, 75, 78, 255],
...,
[ 83, 81, 80, 255],
[ 75, 72, 72, 255],
[ 81, 79, 80, 255]]]], dtype=uint8)>,) and kwargs: {} for signature: (input_tensor: TensorSpec(shape=(1, None, None, 3), dtype=tf.uint8, name=None)).
